WaterCrawl Blog

Discover insights, tutorials, and updates about web crawling, data extraction, and how to make the most of WaterCrawl.

🎬 Role Prompting: How to steer LLMs with persona-based instructions
1 min read

🎬 Role Prompting: How to...

Role prompting is a powerful prompt engineering technique where you tell an AI to “be” someone — a journalist, teacher, or engineer — to shape tone, reasoning, and output style. It improves domain...

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🌡️What Is Temperature in AI Models?
1 min read

🌡️What Is Temperature in AI...

Temperature in AI models controls how random or creative their text generation is. Low temperatures (≈0–0.3) make outputs precise and factual, while higher ones (≈0.9–1.5) add creativity and unpredictability. By scaling logits before...

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⛓️What is Chain-of-Thought Prompting?
1 min read

⛓️What is Chain-of-Thought Prompting?

Chain-of-Thought (CoT) prompting teaches AI models to “think out loud,” showing each reasoning step before reaching an answer. This structured, step-by-step approach improves accuracy, transparency, and trust across complex reasoning tasks. In short,...

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🔎 LoRA and QLoRA: Efficient Fine-Tuning for Large Language Models
1 min read

🔎 LoRA and QLoRA: Efficient...

LoRA and QLoRA are efficient fine-tuning techniques that drastically reduce the cost and memory requirements of adapting large language models. LoRA achieves this by training only small low-rank adapters, while QLoRA goes further...

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💻 Unlocking the Power of AI: Context Engineering in LLMs and How It Differs from Prompt Engineering
1 min read

💻 Unlocking the Power of...

Prompt engineering is about crafting clever instructions for one-off AI tasks, while context engineering designs the whole ecosystem of memory, data, and tools around an LLM. By curating, compressing, and orchestrating context, systems become...

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🎬 Part One: What is Prompting? ✨ Prompting: The golden key to talking with AI
1 min read

🎬 Part One: What is...

Prompting is the golden key to talking with AI. By giving clear, detailed instructions, you unlock AI’s full potential—saving time, getting precise results, and turning it into your creative teammate. Mastering prompting is...

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🤖 LLMs, RAG, and AI Agents: Understanding the Next Era of Intelligent Systems
1 min read

🤖 LLMs, RAG, and AI...

AI is moving from LLMs (language generators) to RAG (retrieval-grounded systems) to AI Agents (autonomous, tool-using workflows). Each stage builds on the last—LLMs provide fluency, RAG adds accuracy with external knowledge, and Agents...

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🤖 Tooling the Mind: How the Right Tools Empower AI Agents to Excel
1 min read

🤖 Tooling the Mind: How...

AI agents become powerful not just through language models but through the tools they use. Tools let agents fetch real-time data, automate tasks, and interact with external systems—from booking flights to generating visuals....

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🧨 The Ultimate Guide to Open-Source AI Agent Frameworks in 2025
1 min read

🧨 The Ultimate Guide to...

AI agents in 2025 are smarter than ever, with open-source frameworks powering automation, research, and real-world apps. 🛠️ From LangChain’s all-round power to Dify’s low-code magic, there’s a tool for every developer, team, or...

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